JOURNAL OF NONPARAMETRIC STATISTICS

《非参数统计杂志》为非参数统计及相关领域的研究和调查工作的出版提供了一个媒介。范围包括但不限于以下主题:非参数建模非参数函数估计秩和其他健壮的、无分布的过程重采样方法Lack-of-fit测试多变量分析利用高维数据进行推理降维和变量选择方法用于变量中的错误、缺失、删除和其他不完整的数据结构随机过程推理抽样调查时间序列分析纵向和功能数据分析非参数贝叶斯方法和决策过程半参数模型和程序影像及断层摄影的统计方法统计的逆问题金融统计与计量经济学生物信息学和比较基因组学统计算法和机器学习。非参数统计的理论和应用都在杂志中被涵盖。欢迎将非参数方法应用于医学、工程、技术、科学和人文学科的研究，前提是创新和质量水平最高。鼓励作者在发表论文的同时提交补充的技术论据、计算机代码、论文中分析的数据或任何附加信息，以便在线发表。

Journal of Nonparametric Statistics provides a medium for the publication of research and survey work in nonparametric statistics and related areas. The scope includes, but is not limited to the following topics: Nonparametric modelingNonparametric function estimationRank and other robust and distribution-free proceduresResampling methodsLack-of-fit testingMultivariate analysisInference with high-dimensional dataDimension reduction and variable selectionMethods for errors in variables, missing, censored, and other incomplete data structuresInference of stochastic processesSample surveysTime series analysisLongitudinal and functional data analysisNonparametric Bayes methods and decision proceduresSemiparametric models and proceduresStatistical methods for imaging and tomographyStatistical inverse problemsFinancial statistics and econometricsBioinformatics and comparative genomicsStatistical algorithms and machine learning. Both the theory and applications of nonparametric statistics are covered in the journal. Research applying nonparametric methods to medicine, engineering, technology, science and humanities is welcomed, provided the novelty and quality level are of the highest order. Authors are encouraged to submit supplementary technical arguments, computer code, data analysed in the paper or any additional information for online publication along with the published paper.